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Strengthening causes of death identification through community-based verbal autopsy during the COVID-19 pandemic

INTRODUCTION: Indonesia has not optimally provided complete and reliable civil registration and vital statistics (CRVS). Death certification is one of the elements of the CRVS system. Reliable data on death rates and causes serve as the basis for building a strong evidence base for public health pol...

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Autores principales: Siregar, Kemal Nazarudin, Kurniawan, Rico, Nuridzin, Dion Zein, BaharuddinNur, Ryza Jazid, Retnowati, Handayani, Yolanda, Rohjayanti, Halim, Lindawati
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398045/
https://www.ncbi.nlm.nih.gov/pubmed/35999519
http://dx.doi.org/10.1186/s12889-022-14014-x
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author Siregar, Kemal Nazarudin
Kurniawan, Rico
Nuridzin, Dion Zein
BaharuddinNur, Ryza Jazid
Retnowati
Handayani, Yolanda
Rohjayanti
Halim, Lindawati
author_facet Siregar, Kemal Nazarudin
Kurniawan, Rico
Nuridzin, Dion Zein
BaharuddinNur, Ryza Jazid
Retnowati
Handayani, Yolanda
Rohjayanti
Halim, Lindawati
author_sort Siregar, Kemal Nazarudin
collection PubMed
description INTRODUCTION: Indonesia has not optimally provided complete and reliable civil registration and vital statistics (CRVS). Death certification is one of the elements of the CRVS system. Reliable data on death rates and causes serve as the basis for building a strong evidence base for public health policy, planning, monitoring, and evaluation. This study aims to implement an approach to identifying the cause of death through verbal autopsy by empowering community health workers during the pandemic. METHOD: This study is implementation research with the empowerment of the community, in this case, health cadres and health facilitators/workers, to identify the cause of death through a mobile-based verbal autopsy. This implementation research consisted of four main activities: community-based verbal autopsy, mobile-based verbal autopsy development, data collection, and analysis of the suspected causes of death using InterVA-5. RESULT: From October to November 2020, a total of 143 respondents were willing to do a verbal autopsy interview (response rate of 58%). Of 143 respondents, most of them were women (112 or 78.3%), was the child of the deceased (61 or 42.7%) and lived with the deceased until before he/she died (120 or 83.9%). Based on the characteristics of the deceased, of 143 deceased, 78 (54.5%) were male, 134 (93.7%) were adults, 100 (69.9%) died at home, and 119 (83.2%) did not have a death certificate stating the cause of death. The cause of death of 143 deceased mainly was infectious disease (92 or 64.3%), followed by non-communicable disease (39 or 27.3%), external factors (5 or 3.5%), and unknown factors (4 or 2.8%). In sequence, the top five suspected causes of death are acute respiratory infection, including pneumonia (72 or 50.3%), other and unspecified infectious disease (18 or 12.6%), other and unspecified cardiac disease (17 or 11.9%), acute cardiac disease (4 or 2.8%), and Digestive neoplasms (4 or 2.8%). CONCLUSION: The findings showed that the mobile-based verbal autopsy using a community-based mechanism was feasible during the COVID-19 pandemic.
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spelling pubmed-93980452022-08-24 Strengthening causes of death identification through community-based verbal autopsy during the COVID-19 pandemic Siregar, Kemal Nazarudin Kurniawan, Rico Nuridzin, Dion Zein BaharuddinNur, Ryza Jazid Retnowati Handayani, Yolanda Rohjayanti Halim, Lindawati BMC Public Health Research INTRODUCTION: Indonesia has not optimally provided complete and reliable civil registration and vital statistics (CRVS). Death certification is one of the elements of the CRVS system. Reliable data on death rates and causes serve as the basis for building a strong evidence base for public health policy, planning, monitoring, and evaluation. This study aims to implement an approach to identifying the cause of death through verbal autopsy by empowering community health workers during the pandemic. METHOD: This study is implementation research with the empowerment of the community, in this case, health cadres and health facilitators/workers, to identify the cause of death through a mobile-based verbal autopsy. This implementation research consisted of four main activities: community-based verbal autopsy, mobile-based verbal autopsy development, data collection, and analysis of the suspected causes of death using InterVA-5. RESULT: From October to November 2020, a total of 143 respondents were willing to do a verbal autopsy interview (response rate of 58%). Of 143 respondents, most of them were women (112 or 78.3%), was the child of the deceased (61 or 42.7%) and lived with the deceased until before he/she died (120 or 83.9%). Based on the characteristics of the deceased, of 143 deceased, 78 (54.5%) were male, 134 (93.7%) were adults, 100 (69.9%) died at home, and 119 (83.2%) did not have a death certificate stating the cause of death. The cause of death of 143 deceased mainly was infectious disease (92 or 64.3%), followed by non-communicable disease (39 or 27.3%), external factors (5 or 3.5%), and unknown factors (4 or 2.8%). In sequence, the top five suspected causes of death are acute respiratory infection, including pneumonia (72 or 50.3%), other and unspecified infectious disease (18 or 12.6%), other and unspecified cardiac disease (17 or 11.9%), acute cardiac disease (4 or 2.8%), and Digestive neoplasms (4 or 2.8%). CONCLUSION: The findings showed that the mobile-based verbal autopsy using a community-based mechanism was feasible during the COVID-19 pandemic. BioMed Central 2022-08-23 /pmc/articles/PMC9398045/ /pubmed/35999519 http://dx.doi.org/10.1186/s12889-022-14014-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Siregar, Kemal Nazarudin
Kurniawan, Rico
Nuridzin, Dion Zein
BaharuddinNur, Ryza Jazid
Retnowati
Handayani, Yolanda
Rohjayanti
Halim, Lindawati
Strengthening causes of death identification through community-based verbal autopsy during the COVID-19 pandemic
title Strengthening causes of death identification through community-based verbal autopsy during the COVID-19 pandemic
title_full Strengthening causes of death identification through community-based verbal autopsy during the COVID-19 pandemic
title_fullStr Strengthening causes of death identification through community-based verbal autopsy during the COVID-19 pandemic
title_full_unstemmed Strengthening causes of death identification through community-based verbal autopsy during the COVID-19 pandemic
title_short Strengthening causes of death identification through community-based verbal autopsy during the COVID-19 pandemic
title_sort strengthening causes of death identification through community-based verbal autopsy during the covid-19 pandemic
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398045/
https://www.ncbi.nlm.nih.gov/pubmed/35999519
http://dx.doi.org/10.1186/s12889-022-14014-x
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